1 00:00:00,160 --> 00:00:02,680 Speaker 1: Guess what, mango? What's that? Will? All right? So tell 2 00:00:02,680 --> 00:00:05,000 Speaker 1: me this doesn't sound like a great premise for a movie. 3 00:00:05,519 --> 00:00:08,119 Speaker 1: About a century ago, a young woman from a small 4 00:00:08,160 --> 00:00:11,280 Speaker 1: town in Indiana heads off to college to study poetry 5 00:00:11,280 --> 00:00:14,360 Speaker 1: and philosophy. Now she does this against her father's will, 6 00:00:14,440 --> 00:00:17,920 Speaker 1: by the way, So she finishes college, travels to Chicago 7 00:00:17,960 --> 00:00:20,400 Speaker 1: to figure out what to do with her life. Already 8 00:00:20,400 --> 00:00:23,440 Speaker 1: following so far, because here's where the crazy plot twist 9 00:00:23,520 --> 00:00:25,960 Speaker 1: comes in. She's about to give up, and then she's 10 00:00:26,000 --> 00:00:29,920 Speaker 1: discovered and hired by this really eccentric tycoon, makes a 11 00:00:30,000 --> 00:00:32,559 Speaker 1: major shift in her life and realizes she has this 12 00:00:32,680 --> 00:00:36,159 Speaker 1: remarkable ability to break codes. She then goes on to 13 00:00:36,200 --> 00:00:39,160 Speaker 1: become one of the greatest code breakers in history, helps 14 00:00:39,200 --> 00:00:41,640 Speaker 1: the US win World War One, helps US defeat the 15 00:00:41,720 --> 00:00:44,560 Speaker 1: Nazis in World War Two, and plays a major role 16 00:00:44,560 --> 00:00:47,680 Speaker 1: in building the foundation for the intelligence agencies in the 17 00:00:47,800 --> 00:00:51,319 Speaker 1: USA today. Boom, what do you think about this? I'd 18 00:00:51,360 --> 00:00:53,760 Speaker 1: watched that movie, yeah, and it should be a movie. 19 00:00:53,800 --> 00:00:56,800 Speaker 1: But here's the thing, it's all true and thanks to 20 00:00:56,880 --> 00:00:59,840 Speaker 1: the years of research and writing by Jason Fagoni, we 21 00:01:00,080 --> 00:01:02,440 Speaker 1: now have a brilliant book. It's called The Woman who 22 00:01:02,480 --> 00:01:06,080 Speaker 1: smashed codes and it tells the story of Elizabeth Smith Friedman. 23 00:01:06,560 --> 00:01:11,840 Speaker 1: I can't stop thinking about this story, so let's dive ina. 24 00:01:28,280 --> 00:01:30,920 Speaker 1: Hey there, podcast listeners, Welcome to Part Time Genius. I'm 25 00:01:30,959 --> 00:01:32,959 Speaker 1: Will Pearson and as always I'm joined by my good 26 00:01:32,959 --> 00:01:35,480 Speaker 1: friend Mangesh Ticketer and on the other side of the 27 00:01:35,520 --> 00:01:39,800 Speaker 1: soundproof glass obsessing over his new decoder ring and what's 28 00:01:39,800 --> 00:01:42,319 Speaker 1: he doing. He's he's like he's communicating with us in 29 00:01:42,680 --> 00:01:45,039 Speaker 1: some sort of new language of signals. He and he's 30 00:01:45,040 --> 00:01:48,520 Speaker 1: always so impressive. Mango, that's our that's our friend and 31 00:01:48,560 --> 00:01:51,760 Speaker 1: producer Tristan McNeil. Now today we're talking about one of 32 00:01:51,760 --> 00:01:56,080 Speaker 1: the most fascinating people history almost forgot and honestly might 33 00:01:56,160 --> 00:01:58,360 Speaker 1: have forever had it not been for the book we're 34 00:01:58,360 --> 00:02:01,919 Speaker 1: talking about today. I know it's it's just this incredible story. 35 00:02:01,960 --> 00:02:04,160 Speaker 1: And when you started telling me about it, I'll be honest, 36 00:02:04,200 --> 00:02:06,720 Speaker 1: I really didn't think it could be true. I mean, 37 00:02:06,760 --> 00:02:10,040 Speaker 1: like this poet learning code breaking and then taking down 38 00:02:10,200 --> 00:02:13,600 Speaker 1: Nazis and gangsters and cracking codes with pretty much this 39 00:02:13,720 --> 00:02:17,600 Speaker 1: relative ease, like it just sounded too good. And especially 40 00:02:17,680 --> 00:02:19,280 Speaker 1: since you know, we've done a lot of stories and 41 00:02:19,360 --> 00:02:22,720 Speaker 1: I've never really heard of Elizabeth Smith Friedman before I 42 00:02:22,760 --> 00:02:25,680 Speaker 1: know it's it's honestly why I can't stop talking about 43 00:02:25,680 --> 00:02:27,840 Speaker 1: that story. You really haven't stopped talking about it for 44 00:02:27,840 --> 00:02:30,240 Speaker 1: a while. Well, I'm thrilled we finally have the right 45 00:02:30,240 --> 00:02:32,200 Speaker 1: person on the line to talk about this story, and 46 00:02:32,240 --> 00:02:36,160 Speaker 1: that's the author of The Woman Who Smashed Codes, Jason Fagoni. So, Jason, 47 00:02:36,200 --> 00:02:38,880 Speaker 1: welcome to Part Time Genius. Hey, thanks, guys, I'm glad 48 00:02:38,919 --> 00:02:42,080 Speaker 1: to be here. Well, Jason, I want to jump straight 49 00:02:42,080 --> 00:02:45,440 Speaker 1: into this this really bizarre break that Elizabeth got, you know, 50 00:02:45,520 --> 00:02:47,720 Speaker 1: becoming a code breaker, And of course we want to 51 00:02:47,760 --> 00:02:50,320 Speaker 1: ask you about how you even stumbled into this story. 52 00:02:50,360 --> 00:02:52,240 Speaker 1: But first, can you set the scene a little bit 53 00:02:52,280 --> 00:02:54,840 Speaker 1: and just talk about what her early life was like 54 00:02:54,960 --> 00:02:57,480 Speaker 1: before she got this big break. Yeah. So it's one 55 00:02:57,480 --> 00:03:00,040 Speaker 1: of these kind of classic American tales. You have a 56 00:03:00,040 --> 00:03:02,360 Speaker 1: a hundred years ago, a young woman in her early 57 00:03:02,400 --> 00:03:05,800 Speaker 1: twenties is bored with her life and board with her job. 58 00:03:05,960 --> 00:03:09,720 Speaker 1: She lives in a small town, uh in Midwest, in 59 00:03:10,080 --> 00:03:13,919 Speaker 1: rural Indiana where she's from. She's teaching high school and 60 00:03:14,480 --> 00:03:18,240 Speaker 1: for a bright young woman in nineteen fifteen, nineteen sixteen, 61 00:03:18,320 --> 00:03:20,280 Speaker 1: this is kind of the end of the line right there, 62 00:03:20,600 --> 00:03:23,760 Speaker 1: there is not really um a lot of opportunity beyond 63 00:03:23,800 --> 00:03:29,120 Speaker 1: teaching school. Elizabeth was extremely intelligent, ambitious, and brave, and 64 00:03:29,240 --> 00:03:32,359 Speaker 1: she decided in June nine, sixteen, to take a risk. 65 00:03:32,720 --> 00:03:35,040 Speaker 1: She quit her job teaching school and she moved to 66 00:03:35,040 --> 00:03:39,960 Speaker 1: the big city, to Chicago, to look for something more unusual. 67 00:03:40,040 --> 00:03:41,840 Speaker 1: And that was really all she wanted, was something a 68 00:03:41,880 --> 00:03:45,720 Speaker 1: little bit more unusual. That brought her to a library 69 00:03:45,720 --> 00:03:49,240 Speaker 1: in Chicago, the Newberry Library that happened to have a 70 00:03:49,400 --> 00:03:52,520 Speaker 1: rare volume of Shakespeare from sixteen twenty three was the 71 00:03:52,560 --> 00:03:57,000 Speaker 1: Shakespeare First Saffolio. And she happened to love Shakespeare. She 72 00:03:57,040 --> 00:04:00,720 Speaker 1: had studied Shakespeare in school. She was a poet by training, 73 00:04:01,000 --> 00:04:04,240 Speaker 1: literature scholar, and she just kind of wanted to see 74 00:04:04,680 --> 00:04:08,040 Speaker 1: this rare book. She she hadn't had any luck finding 75 00:04:08,040 --> 00:04:09,840 Speaker 1: a job in Chicago. She spent about a week, week 76 00:04:09,880 --> 00:04:11,760 Speaker 1: and a half they're looking for work, had no luck. 77 00:04:12,080 --> 00:04:13,960 Speaker 1: She was about ready to go back home and move 78 00:04:14,040 --> 00:04:17,880 Speaker 1: in with her parents back in Indiana, but she made 79 00:04:17,920 --> 00:04:19,960 Speaker 1: this one final stop at this library to see this 80 00:04:20,240 --> 00:04:23,280 Speaker 1: Shakespeare book, and she happened to have a chance meeting 81 00:04:23,320 --> 00:04:26,800 Speaker 1: there with an eccentric tycoon named George Fabian that that 82 00:04:27,040 --> 00:04:31,000 Speaker 1: ended up transforming her life, but not just her life, Uh, 83 00:04:31,240 --> 00:04:34,240 Speaker 1: it ended up changing the shape of the twentieth century. 84 00:04:34,520 --> 00:04:37,960 Speaker 1: And to be clear, like she hadn't studied any code breaking, right, 85 00:04:38,040 --> 00:04:40,600 Speaker 1: Like she was um more a liberal arts type, is 86 00:04:40,600 --> 00:04:42,840 Speaker 1: that right? Yeah, absolutely she was. She was a poet 87 00:04:42,839 --> 00:04:45,200 Speaker 1: in a literature person. So and this is one of 88 00:04:45,200 --> 00:04:47,000 Speaker 1: the surprising things about the story and one of the 89 00:04:47,000 --> 00:04:48,880 Speaker 1: things that pulled me in from the from the first 90 00:04:48,960 --> 00:04:50,760 Speaker 1: day I began to read her letters, is that I 91 00:04:50,760 --> 00:04:54,400 Speaker 1: think we we kind of think of code breakers as mathematicians. 92 00:04:54,440 --> 00:04:56,839 Speaker 1: We have this image of the code breakers as someone 93 00:04:56,880 --> 00:05:01,479 Speaker 1: like allan turning professional mathematician, math professor. But the fact 94 00:05:01,600 --> 00:05:04,880 Speaker 1: is code breakers often come from unusual places because the 95 00:05:04,920 --> 00:05:08,760 Speaker 1: core thing about code breaking is it's really about seeing patterns. 96 00:05:09,040 --> 00:05:12,640 Speaker 1: The code breaking is the science of solving a secret 97 00:05:12,680 --> 00:05:16,160 Speaker 1: message without knowing the key. Um. It's akin to if 98 00:05:16,160 --> 00:05:18,159 Speaker 1: you've ever solved the cryptogram and the in the puzzle 99 00:05:18,200 --> 00:05:20,920 Speaker 1: page in the paper. Um. Elizabeth was doing this at 100 00:05:20,920 --> 00:05:24,240 Speaker 1: a sort of more sophisticated level than than most people. 101 00:05:24,279 --> 00:05:26,800 Speaker 1: But it's the same principle. You you you sort of 102 00:05:26,839 --> 00:05:30,080 Speaker 1: take a block of letters that looks like gobbledygook. You 103 00:05:30,200 --> 00:05:32,799 Speaker 1: chop them into their constituent parts, you whirl them around, 104 00:05:33,040 --> 00:05:35,880 Speaker 1: count them and measure them and rearrange them into their 105 00:05:35,880 --> 00:05:42,160 Speaker 1: original order. And um, Elizabeth was a genius at seeing patterns. 106 00:05:42,160 --> 00:05:44,839 Speaker 1: Even though she wasn't mathematically trained, she she had a 107 00:05:44,839 --> 00:05:47,640 Speaker 1: genius for seeing patterns. And that, uh, that's one of 108 00:05:47,680 --> 00:05:50,240 Speaker 1: the things that made her one of the one of 109 00:05:50,279 --> 00:05:53,320 Speaker 1: the most important code breakers of her era. And before 110 00:05:53,360 --> 00:05:56,800 Speaker 1: she was doing the code breaking, that obviously, you know, 111 00:05:56,880 --> 00:05:59,680 Speaker 1: changed the world. And in many ways, it was an 112 00:05:59,680 --> 00:06:02,000 Speaker 1: interest first project. I mean, can you talk a little 113 00:06:02,000 --> 00:06:05,440 Speaker 1: bit about Fabian because he seemed like such a bizarre character, 114 00:06:05,560 --> 00:06:08,000 Speaker 1: and and how this meeting came to be, and and 115 00:06:08,160 --> 00:06:10,360 Speaker 1: and what she was actually asked to do in her 116 00:06:10,400 --> 00:06:14,160 Speaker 1: first assignment with him. So Elizabeth went to this library, 117 00:06:14,200 --> 00:06:17,200 Speaker 1: the Newberry Library, to see this rare book of Shakespeare, 118 00:06:17,200 --> 00:06:20,320 Speaker 1: and she having to fall into conversation with the librarian 119 00:06:20,320 --> 00:06:22,360 Speaker 1: there who saw that she was interested in Shakespeare. The 120 00:06:22,400 --> 00:06:24,760 Speaker 1: librarian comes over and says, you know, it's funny, but 121 00:06:24,839 --> 00:06:27,240 Speaker 1: there's this odd, rich guy who keeps coming to the 122 00:06:27,279 --> 00:06:30,920 Speaker 1: library looking at the same book of Shakespeare. He's convinced 123 00:06:31,000 --> 00:06:35,560 Speaker 1: that there are secret messages embedded inside inside this book 124 00:06:36,000 --> 00:06:38,279 Speaker 1: that have been planted there by the true author of 125 00:06:38,279 --> 00:06:41,359 Speaker 1: Shakespeare's plays. He thinks that the true author is actually 126 00:06:41,440 --> 00:06:45,400 Speaker 1: this guy who is a contemporary of Shakespeare's named Francis Bake. 127 00:06:46,200 --> 00:06:50,320 Speaker 1: So the librarian is telling Elizabeth this, and the librarian says, uh, 128 00:06:50,360 --> 00:06:52,800 Speaker 1: this rich guy, George Fabian. He says he's been looking 129 00:06:52,800 --> 00:06:55,080 Speaker 1: for a research assistant. Would you be interested in something 130 00:06:55,120 --> 00:06:58,800 Speaker 1: like that? Elisabeth says, oh, sure, you know, maybe possibly. 131 00:06:59,800 --> 00:07:02,640 Speaker 1: The librarian makes a phone call to the George Fabian. 132 00:07:03,040 --> 00:07:07,040 Speaker 1: George Fabian ends up coming to the library immediately, bringing 133 00:07:07,200 --> 00:07:10,200 Speaker 1: bringing his chauffeurg limousine. He pulls up in front of 134 00:07:10,200 --> 00:07:13,320 Speaker 1: the Newberry Library and this limo and he tumbles out 135 00:07:13,320 --> 00:07:16,160 Speaker 1: of the limousine and Elizabeth Smith looks at George Fabian 136 00:07:16,200 --> 00:07:18,320 Speaker 1: for the first time, and what she sees is an 137 00:07:18,440 --> 00:07:23,800 Speaker 1: enormous human being. He is six foot for two pounds, 138 00:07:23,920 --> 00:07:27,320 Speaker 1: big iron gray beard. Uh. He just he just sort 139 00:07:27,320 --> 00:07:31,360 Speaker 1: of stomps towards her. Uh. He has big red face, 140 00:07:31,480 --> 00:07:34,520 Speaker 1: and he's sort of full of energy and intent, and 141 00:07:34,520 --> 00:07:37,360 Speaker 1: he's basically towering over her. Because Elizabeth is very petite. 142 00:07:37,400 --> 00:07:39,920 Speaker 1: She's about five ft three and about a hundred and 143 00:07:39,960 --> 00:07:43,280 Speaker 1: ten pounds um. And he looks at her and he says, 144 00:07:44,000 --> 00:07:46,320 Speaker 1: would you like to come to Riverbank and spend the 145 00:07:46,400 --> 00:07:49,280 Speaker 1: night with me? This is you know, this is a 146 00:07:49,280 --> 00:07:53,040 Speaker 1: completely scandalous question. Uh. You know, Elizabeth's from this from 147 00:07:53,040 --> 00:07:56,080 Speaker 1: a fairly devout Quaker family, and and um, and she 148 00:07:56,120 --> 00:07:57,560 Speaker 1: doesn't even know what to say to this. She doesn't 149 00:07:57,560 --> 00:07:59,600 Speaker 1: know what Riverbank is, and said she she kind of 150 00:07:59,600 --> 00:08:01,400 Speaker 1: stammers reply, and she says, well, sir, I don't have 151 00:08:01,400 --> 00:08:03,800 Speaker 1: anything to to sleep in. I don't have any of 152 00:08:03,800 --> 00:08:06,800 Speaker 1: my nightclothes or my or my or my toiletries or 153 00:08:06,800 --> 00:08:08,600 Speaker 1: anything like that. And he says, oh, don't mind that. 154 00:08:08,680 --> 00:08:10,440 Speaker 1: We'll we'll set you up with all of that. Come on, 155 00:08:10,520 --> 00:08:13,720 Speaker 1: and and and this guy, George Fabian, grabs her by 156 00:08:13,760 --> 00:08:15,560 Speaker 1: the arm and sort of walks her out to his 157 00:08:15,640 --> 00:08:19,760 Speaker 1: limousine and and takes her to the Chicago and Northwestern 158 00:08:19,840 --> 00:08:23,280 Speaker 1: train station. And from there, Uh, she has brought to 159 00:08:23,320 --> 00:08:27,320 Speaker 1: this place called river Bank. And what river Bank is 160 00:08:27,320 --> 00:08:30,560 Speaker 1: is one of the most bizarre institutions in America at 161 00:08:30,560 --> 00:08:34,199 Speaker 1: that time, nineteen sixteen. So George, baby, and it turns 162 00:08:34,200 --> 00:08:39,360 Speaker 1: out is a Chicago textile multimillionaire. He's made his fortune 163 00:08:39,520 --> 00:08:42,320 Speaker 1: by selling different kinds of cloth, and he has kind 164 00:08:42,320 --> 00:08:44,720 Speaker 1: of a marketing genius for selling different kinds of cloth 165 00:08:44,760 --> 00:08:48,440 Speaker 1: to department stores. Um. Classic kind of self made guys. 166 00:08:48,520 --> 00:08:51,320 Speaker 1: He's a high school dropout, he's not educated, but he 167 00:08:51,360 --> 00:08:53,560 Speaker 1: has a lot of money, and he has kind of 168 00:08:53,600 --> 00:08:56,680 Speaker 1: the ability in the Gilded Age to build a kingdom 169 00:08:56,720 --> 00:08:58,800 Speaker 1: around himself and to and to kind of set the 170 00:08:58,840 --> 00:09:02,640 Speaker 1: rules for everybody in his orbit. And um, he's a 171 00:09:02,679 --> 00:09:05,960 Speaker 1: lot like someone like Andrew Carnegie or William Randolph Hurst, 172 00:09:06,080 --> 00:09:07,959 Speaker 1: these these guys with that era who just had more 173 00:09:07,960 --> 00:09:11,680 Speaker 1: money than God. What distinguished George Fabian from those guys 174 00:09:11,840 --> 00:09:14,600 Speaker 1: is that, you know, instead of spending his money on 175 00:09:14,720 --> 00:09:18,400 Speaker 1: French Impressionist paintings or you know, building a big castle, 176 00:09:18,800 --> 00:09:23,160 Speaker 1: what really interested George Fabian was discovering the secrets of nature. 177 00:09:23,240 --> 00:09:25,720 Speaker 1: He was really into science. He wanted to discover things 178 00:09:25,760 --> 00:09:29,240 Speaker 1: about nature that had never been discovered. And so he 179 00:09:29,320 --> 00:09:34,360 Speaker 1: turned his private estate, which was called River Bank, into 180 00:09:34,440 --> 00:09:38,840 Speaker 1: a kind of half rich man's fantasy land and half 181 00:09:39,000 --> 00:09:44,120 Speaker 1: private scientific laboratory, very much like Thomas Edison's Menlo Park, 182 00:09:44,320 --> 00:09:47,040 Speaker 1: New Jersey or Nikola Tesla's Lab in New York. It 183 00:09:47,080 --> 00:09:51,280 Speaker 1: was a place where, you know, a single committed person 184 00:09:51,320 --> 00:09:54,440 Speaker 1: with a lot of money had built a scientific laboratory 185 00:09:54,480 --> 00:09:57,560 Speaker 1: and institution to investigate secrets of nature. And there was 186 00:09:57,600 --> 00:10:00,360 Speaker 1: all kinds of experiments happening at Riverbank to There was 187 00:10:00,920 --> 00:10:06,800 Speaker 1: genetics experiments, agriculture experiments, acoustical experiments, and then there was 188 00:10:06,920 --> 00:10:10,439 Speaker 1: this project that George Fabian wanted Elizabeth Smith to work on, 189 00:10:10,480 --> 00:10:15,360 Speaker 1: which was the Bacon Cipher Project, the project of discovering 190 00:10:15,400 --> 00:10:19,480 Speaker 1: these secret messages inside the works of Shakespeare, ripping them 191 00:10:19,480 --> 00:10:24,240 Speaker 1: out and translating them into the plain text, and revealing 192 00:10:24,280 --> 00:10:26,800 Speaker 1: the secrets of this Shakespeare book to the world. And 193 00:10:26,840 --> 00:10:29,480 Speaker 1: that's that's what he told Elizabeth he wanted her to 194 00:10:29,520 --> 00:10:31,960 Speaker 1: do when he went that day, when he met her 195 00:10:31,960 --> 00:10:35,040 Speaker 1: in the library and whisked her off on the train 196 00:10:35,120 --> 00:10:38,680 Speaker 1: to Riverbank. He wanted her to help him discover the 197 00:10:38,720 --> 00:10:41,440 Speaker 1: secrets that were indebted in Shakespeare and sort of sort 198 00:10:41,480 --> 00:10:45,520 Speaker 1: of transformed the history of English literature. It's just it's 199 00:10:45,559 --> 00:10:47,680 Speaker 1: just unbelievable to think about. I think about the number 200 00:10:47,720 --> 00:10:50,120 Speaker 1: of hours, Mango, that you and I spent just sitting 201 00:10:50,160 --> 00:10:55,079 Speaker 1: in libraries hoping that some eccentric tycoon would come along 202 00:10:55,120 --> 00:10:58,640 Speaker 1: and discover us and lisk us away and it just 203 00:10:58,800 --> 00:11:02,120 Speaker 1: it never happened, but it was. It's it's fascinating to 204 00:11:02,120 --> 00:11:04,480 Speaker 1: read about it, to to think about our fantasy of that. 205 00:11:05,320 --> 00:11:09,040 Speaker 1: But yet, so so that project, that's Shakespeare project didn't 206 00:11:09,040 --> 00:11:12,839 Speaker 1: exactly go you know, anywhere big from there. But but 207 00:11:12,840 --> 00:11:14,440 Speaker 1: but can you tell us, like, how did she end 208 00:11:14,520 --> 00:11:18,080 Speaker 1: up making this transition from trying to figure out the 209 00:11:18,120 --> 00:11:20,720 Speaker 1: code within Shakespeare and seeing if there was any truth 210 00:11:20,800 --> 00:11:23,800 Speaker 1: to this too what she eventually ended up doing and 211 00:11:24,160 --> 00:11:26,880 Speaker 1: some of the very serious code breaking. Sure, that's a 212 00:11:26,880 --> 00:11:30,319 Speaker 1: great question. So so she's brought out to Riverbank, knowing 213 00:11:30,320 --> 00:11:35,440 Speaker 1: nothing about code breaking. She's immediately plunged into this project 214 00:11:35,480 --> 00:11:40,000 Speaker 1: to find secret messages in Shakespeare. And she can't find them. 215 00:11:40,400 --> 00:11:42,840 Speaker 1: And she's there for months and months and months, and 216 00:11:42,880 --> 00:11:47,360 Speaker 1: she's still having having trouble, you know, discovering these secret messages. 217 00:11:47,800 --> 00:11:52,160 Speaker 1: Ultimately she concludes that it's all a wild goose chase, 218 00:11:52,200 --> 00:11:56,040 Speaker 1: it's all kind of a grand delusion. The secret messages 219 00:11:56,040 --> 00:11:58,920 Speaker 1: aren't actually there. What's happening is that George Fabian and 220 00:11:58,920 --> 00:12:01,480 Speaker 1: the people who believe what he believe are kind of 221 00:12:01,520 --> 00:12:04,400 Speaker 1: seeing what they want to see. This is the thing 222 00:12:04,480 --> 00:12:06,880 Speaker 1: about human beings is that we're we're very good at 223 00:12:07,440 --> 00:12:09,520 Speaker 1: seeing patterns. Were all kind of born to do it. 224 00:12:09,679 --> 00:12:12,120 Speaker 1: And sometimes we're so good at seeing patterns that we 225 00:12:12,200 --> 00:12:15,600 Speaker 1: end up seeing patterns that aren't really there, right, and uh, 226 00:12:15,640 --> 00:12:17,600 Speaker 1: and this is what was happening. They thought they saw 227 00:12:17,640 --> 00:12:20,160 Speaker 1: these messages in the works of Shakespeare that weren't really there. 228 00:12:20,760 --> 00:12:24,720 Speaker 1: Elizabeth had to figure this out. Um. But what that 229 00:12:24,800 --> 00:12:28,160 Speaker 1: experience did is, you know, being dropped into this kind 230 00:12:28,200 --> 00:12:31,320 Speaker 1: of delusion. It made her very interested and well, if 231 00:12:31,320 --> 00:12:34,640 Speaker 1: I wanted to find patterns that really were there, and 232 00:12:34,679 --> 00:12:36,480 Speaker 1: if I wanted to be sure that they were there, 233 00:12:37,000 --> 00:12:39,280 Speaker 1: how would I do that? How would I develop a method? 234 00:12:39,360 --> 00:12:41,840 Speaker 1: How would I develop a system to make sure that 235 00:12:41,920 --> 00:12:46,040 Speaker 1: I wasn't tricking myself? And so, beginning in this kind 236 00:12:46,040 --> 00:12:50,960 Speaker 1: of world of delusion um inspired her to try to 237 00:12:51,000 --> 00:12:54,600 Speaker 1: create a true method and a true scientific system for 238 00:12:54,760 --> 00:12:58,040 Speaker 1: discovering patterns in in these blocks of gobbledygook. And that's 239 00:12:58,080 --> 00:13:01,880 Speaker 1: what launched her on her code breaking career, sort of 240 00:13:01,960 --> 00:13:04,720 Speaker 1: in confluence with this other thing that happened, which is 241 00:13:05,080 --> 00:13:07,760 Speaker 1: a year after she got to River Bank, America, entered 242 00:13:07,800 --> 00:13:12,200 Speaker 1: World War One, so April nineteen seventeen, you know, America 243 00:13:12,320 --> 00:13:15,560 Speaker 1: enters the war, and at that point, you know, it's 244 00:13:15,600 --> 00:13:18,480 Speaker 1: amazing for me to go back and learn this history 245 00:13:18,559 --> 00:13:21,600 Speaker 1: because you know, I had always kind of assumed that 246 00:13:21,640 --> 00:13:24,600 Speaker 1: the American intelligence community that we that we know today 247 00:13:24,640 --> 00:13:28,360 Speaker 1: that's mighty and powerful, the National Security Agency, the CIA, 248 00:13:28,520 --> 00:13:31,559 Speaker 1: the FBI. I had always assumed that these institutions are 249 00:13:31,559 --> 00:13:35,000 Speaker 1: always kind of always powerful and had always existed. But 250 00:13:35,440 --> 00:13:38,040 Speaker 1: you know, in nineteen seventeen, when America entered World War One, 251 00:13:38,360 --> 00:13:41,080 Speaker 1: there really was no American intelligence community. There was no 252 00:13:41,200 --> 00:13:43,800 Speaker 1: n s A, there was no CIA, and the FBI 253 00:13:43,960 --> 00:13:45,880 Speaker 1: was very young. And one of the things that you 254 00:13:45,920 --> 00:13:48,280 Speaker 1: need to do when you're going to war is, you know, 255 00:13:48,400 --> 00:13:50,640 Speaker 1: you need to read the secret messages that the enemy 256 00:13:50,720 --> 00:13:52,720 Speaker 1: is sending. You need to know what they're saying and 257 00:13:52,760 --> 00:13:55,320 Speaker 1: what they're doing so you can have an advantage. The 258 00:13:55,360 --> 00:13:57,720 Speaker 1: thing is, you know, when America went to World War 259 00:13:57,840 --> 00:14:01,120 Speaker 1: in World War One in nineteen seventeen, uh, it had 260 00:14:01,160 --> 00:14:03,720 Speaker 1: no ability to do that. There were maybe five people 261 00:14:03,720 --> 00:14:06,920 Speaker 1: in the entire United States who even knew what a 262 00:14:07,000 --> 00:14:10,520 Speaker 1: code or a cipher and so, uh it just so 263 00:14:10,640 --> 00:14:14,360 Speaker 1: happened that some of these five people were Elizabeth and 264 00:14:14,360 --> 00:14:18,520 Speaker 1: her colleagues at Riverbank Laboratories, this bizarre private institution run 265 00:14:18,520 --> 00:14:20,600 Speaker 1: by a crazy rich guy on the Illinois Prairie. It's 266 00:14:20,600 --> 00:14:22,440 Speaker 1: one of these things, you know, truth is stranger than fiction, 267 00:14:22,480 --> 00:14:25,160 Speaker 1: and American history is very, very weird. It gets very 268 00:14:25,240 --> 00:14:28,040 Speaker 1: very weird, very very fast when you get beyond the surface. 269 00:14:28,360 --> 00:14:31,000 Speaker 1: So what happened is, you know, through the urgency of war, 270 00:14:31,080 --> 00:14:34,600 Speaker 1: the necessity of war, you know, the War Department, the 271 00:14:34,720 --> 00:14:37,720 Speaker 1: Army realized they didn't have any code breakers and they 272 00:14:37,760 --> 00:14:41,840 Speaker 1: needed code breakers very quickly. So, uh, just out of desperation, 273 00:14:41,960 --> 00:14:46,400 Speaker 1: they ended up kind of annexing Riverbank Laboratories, which became 274 00:14:46,480 --> 00:14:51,000 Speaker 1: kind of the first national security agency. The War Department 275 00:14:51,040 --> 00:14:53,800 Speaker 1: and other departments of the U. S. Government began to 276 00:14:53,960 --> 00:14:58,200 Speaker 1: send uh, secret messages that they couldn't read out to Riverbank, 277 00:14:58,640 --> 00:15:02,720 Speaker 1: and Elizabeth and her colleagues they're working for this crazy tycoon, 278 00:15:03,000 --> 00:15:05,360 Speaker 1: would solve the messages and send them back to Washington. 279 00:15:05,400 --> 00:15:07,240 Speaker 1: And for the first eight months of World War One, 280 00:15:07,800 --> 00:15:11,920 Speaker 1: UM Riverbank, Elizabeth and her colleagues, they're handled the entire 281 00:15:12,000 --> 00:15:15,080 Speaker 1: code breaking burden for the U. S. Government. While it 282 00:15:15,200 --> 00:15:17,640 Speaker 1: was at war, which is which is incredible to think about, 283 00:15:17,640 --> 00:15:21,160 Speaker 1: because you know, you've got to realize Elizabeth is four 284 00:15:21,200 --> 00:15:23,400 Speaker 1: years old at this time, and she has just learned 285 00:15:23,400 --> 00:15:25,640 Speaker 1: about code breaking in the last year, but all of 286 00:15:25,680 --> 00:15:39,760 Speaker 1: a sudden she was the expert and she had to perform. 287 00:15:39,800 --> 00:15:42,200 Speaker 1: Welcome back to Part Time Genius. We're chatting with Jason Fagoni, 288 00:15:42,360 --> 00:15:44,960 Speaker 1: the author of The Woman who Smashed Codes. So, Jason, 289 00:15:45,200 --> 00:15:48,080 Speaker 1: the whole thing about um, that code breaking really wasn't 290 00:15:48,160 --> 00:15:50,680 Speaker 1: a thing before is is just kind of stunning to 291 00:15:50,720 --> 00:15:53,400 Speaker 1: be because I always think about like things in the paper, 292 00:15:53,480 --> 00:15:56,640 Speaker 1: like the cryptograms, or you think about like uh, Lewis 293 00:15:56,680 --> 00:15:59,360 Speaker 1: Carroll and anagrams and people playing with words and in 294 00:15:59,400 --> 00:16:02,560 Speaker 1: crazy ways, But that this art isn't the thing is 295 00:16:02,720 --> 00:16:05,240 Speaker 1: is just kind of amazing. She also wasn't alone in 296 00:16:05,240 --> 00:16:08,160 Speaker 1: this endeavor, right, She had a sort of a love 297 00:16:08,200 --> 00:16:11,000 Speaker 1: interest and partner during this time exactly. She met a 298 00:16:11,080 --> 00:16:14,240 Speaker 1: young scientist there named William Friedman. And and again it's 299 00:16:14,280 --> 00:16:17,160 Speaker 1: one of these kind of classic American tales, two young 300 00:16:17,280 --> 00:16:20,520 Speaker 1: people from very different worlds. Elizabeth was, you know, a 301 00:16:20,560 --> 00:16:24,840 Speaker 1: Quaker girl from the Midwest. William Friedman was a Jewish scientist, 302 00:16:24,880 --> 00:16:28,680 Speaker 1: from Pittsburgh. Um, he had been brought to Riverbank to 303 00:16:28,720 --> 00:16:33,440 Speaker 1: perform genetics experiments. He was breeding fruit flies. Ah, he 304 00:16:33,680 --> 00:16:37,840 Speaker 1: was trying to breed different varieties of corn and wheat 305 00:16:37,960 --> 00:16:41,480 Speaker 1: that might take root in different kinds of soil. But 306 00:16:41,520 --> 00:16:43,640 Speaker 1: the thing about William Freedman is that he he had 307 00:16:43,640 --> 00:16:47,640 Speaker 1: a talent for photography and a lot of the original 308 00:16:47,840 --> 00:16:50,800 Speaker 1: work on the Bacon Cipher project. This, this project of 309 00:16:50,800 --> 00:16:56,600 Speaker 1: finding secret messages in Shakespeare depended on enlarging photographs of uh, 310 00:16:56,640 --> 00:17:01,680 Speaker 1: the original Shakespeare manuscript, the six Stafolio. So so because 311 00:17:01,720 --> 00:17:04,000 Speaker 1: William was good with camera and he knew how to 312 00:17:04,040 --> 00:17:08,280 Speaker 1: develop Prince and in dark Ram, George Fabian roped him 313 00:17:08,320 --> 00:17:12,280 Speaker 1: into this project. And so William Friedman began to work 314 00:17:12,359 --> 00:17:15,520 Speaker 1: with Elizabeth Smith on the Shakespeare project and and they 315 00:17:15,600 --> 00:17:18,920 Speaker 1: both kind of looked at each other around the same 316 00:17:18,960 --> 00:17:23,560 Speaker 1: time and had this had this epiphany which was, Um, 317 00:17:23,600 --> 00:17:26,760 Speaker 1: everybody at this place is completely crazy except for us. 318 00:17:27,680 --> 00:17:29,400 Speaker 1: You know, we are the we might be the only 319 00:17:29,520 --> 00:17:33,160 Speaker 1: sane people here, and we need to, uh, we need 320 00:17:33,200 --> 00:17:35,840 Speaker 1: to form a bond to kind of to protect ourselves 321 00:17:35,840 --> 00:17:38,840 Speaker 1: from these lunatics. And while all of this craziness was 322 00:17:38,880 --> 00:17:42,560 Speaker 1: swirling around them. Elizabeth and William did something extremely important, 323 00:17:43,600 --> 00:17:49,320 Speaker 1: which is, together they invented the modern science of cryptology, 324 00:17:49,400 --> 00:17:52,040 Speaker 1: which today is at the core of our intelligence agencies. 325 00:17:52,040 --> 00:17:53,879 Speaker 1: So this is a remarkable thing. You know, in the 326 00:17:53,920 --> 00:17:57,000 Speaker 1: span of about two or three years, starting in nineteen 327 00:17:58,280 --> 00:18:03,640 Speaker 1: they invented new techniques of code breaking UM that had 328 00:18:03,680 --> 00:18:07,919 Speaker 1: not been known in America. They wrote papers together, they 329 00:18:07,960 --> 00:18:10,360 Speaker 1: worked across from each other in the same room, at 330 00:18:10,359 --> 00:18:13,359 Speaker 1: the same desk, solving puzzles with pencil and paper. You 331 00:18:13,440 --> 00:18:15,760 Speaker 1: gotta remember, this is before the era of computers. This 332 00:18:15,800 --> 00:18:17,520 Speaker 1: is all pencil and paper. You're just sitting there with 333 00:18:17,600 --> 00:18:21,720 Speaker 1: pencil paper in your mind. And because so little was 334 00:18:21,760 --> 00:18:25,520 Speaker 1: known about code breaking in America, UM, they they very 335 00:18:25,600 --> 00:18:28,560 Speaker 1: quickly had to invent new techniques. They had to become scientists, 336 00:18:28,600 --> 00:18:31,520 Speaker 1: and they had to become explorers. And they did that. Uh. 337 00:18:31,560 --> 00:18:34,159 Speaker 1: And they were able to do it because they just 338 00:18:34,200 --> 00:18:36,240 Speaker 1: had this They had this bond, this link. You know, 339 00:18:36,359 --> 00:18:38,439 Speaker 1: there's something kind of miraculous seemed to happen when they 340 00:18:38,440 --> 00:18:41,879 Speaker 1: worked together. They made each other better UM and and 341 00:18:42,000 --> 00:18:45,840 Speaker 1: very quickly they started to consider themselves a duo and 342 00:18:45,840 --> 00:18:48,760 Speaker 1: and a team. UM. After they were married, William even 343 00:18:48,840 --> 00:18:50,520 Speaker 1: even came up with the name he called them. He 344 00:18:50,600 --> 00:18:53,760 Speaker 1: called them the Freedman Combination. And you know, and it's 345 00:18:53,800 --> 00:18:56,960 Speaker 1: interesting because because these papers that they wrote together are 346 00:18:57,000 --> 00:19:01,399 Speaker 1: known as the Riverbank Publications, and uh uh you know, 347 00:19:01,800 --> 00:19:05,320 Speaker 1: they've historically been credited to William alone. You know, it's 348 00:19:05,359 --> 00:19:08,080 Speaker 1: only his name that's on the papers. But I went 349 00:19:08,119 --> 00:19:11,160 Speaker 1: back and I looked at the early drafts of these publications, 350 00:19:11,160 --> 00:19:14,040 Speaker 1: which are in the New York Public Library, uh, in 351 00:19:14,080 --> 00:19:16,159 Speaker 1: their Manuscripts and Archives division. And when you look at 352 00:19:16,200 --> 00:19:19,320 Speaker 1: the drafts, you see that Elizabeth's handwriting has all over them. 353 00:19:19,440 --> 00:19:22,920 Speaker 1: In fact, you know her her her name is even 354 00:19:22,920 --> 00:19:24,879 Speaker 1: typed on some of the type scripts as the author 355 00:19:24,920 --> 00:19:27,120 Speaker 1: of certain sections of the papers. So I think that 356 00:19:27,560 --> 00:19:32,200 Speaker 1: for several of the papers, especially the early, the early papers, 357 00:19:32,240 --> 00:19:35,960 Speaker 1: Elizabeth was every bit the co author, and in fact, 358 00:19:36,200 --> 00:19:38,320 Speaker 1: William considered her to be the co author too. He 359 00:19:38,600 --> 00:19:41,520 Speaker 1: referred to the papers as our papers. And uh. The 360 00:19:41,560 --> 00:19:43,560 Speaker 1: thing that kind of seals the deal from me is that, 361 00:19:44,000 --> 00:19:47,360 Speaker 1: you know, uh, in his personal archive, which is at 362 00:19:47,359 --> 00:19:51,239 Speaker 1: a private library in Virginia, he has uh he he 363 00:19:51,320 --> 00:19:54,520 Speaker 1: kept his own personal copies of the River Bank Publications 364 00:19:54,520 --> 00:19:57,280 Speaker 1: and on one of them. He actually writes Elizabeth's name 365 00:19:57,840 --> 00:19:59,640 Speaker 1: as a co author on the cover, even though it's 366 00:19:59,640 --> 00:20:02,080 Speaker 1: not there in the printed version, and so so she was. 367 00:20:02,880 --> 00:20:07,360 Speaker 1: She was the co founder I think of modern American cryptology. Wow. 368 00:20:07,440 --> 00:20:09,680 Speaker 1: And you know when you talk about that, that impact 369 00:20:09,760 --> 00:20:12,160 Speaker 1: that they had, and I guess finally the War Department 370 00:20:12,200 --> 00:20:15,120 Speaker 1: wakes up to the fact that maybe they need more 371 00:20:15,160 --> 00:20:17,320 Speaker 1: than just five people at this weird estate in the 372 00:20:17,359 --> 00:20:20,080 Speaker 1: middle of nowhere and and decides to start their own 373 00:20:20,240 --> 00:20:22,679 Speaker 1: code breaking units. But but that doesn't mean the end 374 00:20:22,680 --> 00:20:24,920 Speaker 1: of it for for William and Elizabeth. Can you talk 375 00:20:24,920 --> 00:20:27,520 Speaker 1: a little bit about what you know Elizabeth specifically was 376 00:20:27,600 --> 00:20:29,960 Speaker 1: up to in between the world wars, because she was 377 00:20:30,000 --> 00:20:33,679 Speaker 1: still very much involved in this world Sure, right, So 378 00:20:33,720 --> 00:20:36,040 Speaker 1: you're right, the War Department comes to the conclusion that 379 00:20:36,080 --> 00:20:37,880 Speaker 1: maybe it's not the best idea to have a crazy 380 00:20:38,359 --> 00:20:41,320 Speaker 1: tycoon handling all of the code breaking bird and forward 381 00:20:41,400 --> 00:20:43,800 Speaker 1: the United States. Uh, they started, they start to build 382 00:20:43,800 --> 00:20:49,159 Speaker 1: code breaking teams and capacities in Washington. What happens is, eventually, uh, 383 00:20:49,200 --> 00:20:54,720 Speaker 1: George Fabian sort of reveals his insanity. He begins to 384 00:20:54,800 --> 00:20:57,000 Speaker 1: spy on the Freedman's while they're still at Riverbank. He 385 00:20:57,080 --> 00:21:00,760 Speaker 1: surveils them, he intercepts them, nail. He becomes very controlling. 386 00:21:01,000 --> 00:21:05,120 Speaker 1: There's a suggestion that he might have sexually harassed Elizabeth 387 00:21:05,560 --> 00:21:10,160 Speaker 1: while William was serving in France briefly during World War One. 388 00:21:11,080 --> 00:21:13,639 Speaker 1: William comes back from the war, they both get out 389 00:21:13,680 --> 00:21:16,600 Speaker 1: of there. They make their escape. They essentially pack up 390 00:21:16,640 --> 00:21:18,120 Speaker 1: their things in the middle of the night because they're 391 00:21:18,200 --> 00:21:20,240 Speaker 1: terrified of Fabian and they moved to Washington, d C. 392 00:21:20,920 --> 00:21:22,680 Speaker 1: And this is where they spend the rest of their 393 00:21:22,680 --> 00:21:27,040 Speaker 1: careers and so um. Initially they're working in Washington, d C. 394 00:21:27,280 --> 00:21:31,119 Speaker 1: Together starting they both they both start working for the army, 395 00:21:31,240 --> 00:21:34,000 Speaker 1: and at first they're working in the same room just 396 00:21:34,040 --> 00:21:37,400 Speaker 1: like they were before, designing new codes for the Army 397 00:21:37,480 --> 00:21:40,720 Speaker 1: news safer codes for for the use of the dough boys. UM. 398 00:21:40,800 --> 00:21:44,480 Speaker 1: Pretty quickly, Elizabeth gets bored with that and she quits. 399 00:21:45,119 --> 00:21:47,840 Speaker 1: She she stays at home and starts to write children's books, 400 00:21:47,840 --> 00:21:51,119 Speaker 1: which was a long ambition of her. She wanted to 401 00:21:51,160 --> 00:21:53,679 Speaker 1: write a children's book about the history of the alphabets 402 00:21:53,680 --> 00:21:55,760 Speaker 1: and show sort of the wonders of the alphabet and 403 00:21:56,440 --> 00:22:00,240 Speaker 1: the system of of of written communication to it's and 404 00:22:00,240 --> 00:22:04,720 Speaker 1: young adults. And she also had gave birth to their 405 00:22:04,720 --> 00:22:09,560 Speaker 1: first child around that time, Barbara daughter, and uh soe 406 00:22:09,920 --> 00:22:12,360 Speaker 1: Elizabeth is kind of out of the game, right she 407 00:22:12,359 --> 00:22:17,040 Speaker 1: she's at home, she's writing children's books, she's recovering from labor, 408 00:22:17,560 --> 00:22:19,800 Speaker 1: and she is a mother. And this is kind of 409 00:22:19,800 --> 00:22:21,280 Speaker 1: what she thinks she's going to do for the rest 410 00:22:21,440 --> 00:22:24,480 Speaker 1: rest of her life and her career. But what happens 411 00:22:25,080 --> 00:22:27,919 Speaker 1: is that men from the government show up on her 412 00:22:27,960 --> 00:22:31,240 Speaker 1: doorstep and ask herself puzzles for America. And this is 413 00:22:31,400 --> 00:22:33,280 Speaker 1: this is exactly these are her words, by the way, 414 00:22:33,359 --> 00:22:35,560 Speaker 1: this is how she put it. She she was kind 415 00:22:35,560 --> 00:22:37,480 Speaker 1: of a complaint all of her life. She said that 416 00:22:37,720 --> 00:22:40,080 Speaker 1: men from the government keeps showing up on my doorstep 417 00:22:40,160 --> 00:22:42,720 Speaker 1: asking me to selve puzzles, and the only way the 418 00:22:42,760 --> 00:22:44,400 Speaker 1: only way to make them go away is to say 419 00:22:44,480 --> 00:22:47,800 Speaker 1: yes and agree to do these projects. The problem for 420 00:22:47,840 --> 00:22:49,919 Speaker 1: Elizabeth is that she was just so good at what 421 00:22:50,000 --> 00:22:53,359 Speaker 1: she did um she and she had such an unusual 422 00:22:53,440 --> 00:22:57,199 Speaker 1: set of skills that she became indispensable. And so the 423 00:22:57,240 --> 00:22:59,800 Speaker 1: government really could not afford to leave her alone. And 424 00:22:59,800 --> 00:23:02,000 Speaker 1: so at every stage of her career, and men from 425 00:23:02,000 --> 00:23:05,040 Speaker 1: the government were showing up on our doorstep asking her 426 00:23:05,080 --> 00:23:07,320 Speaker 1: to confront some kind of challenge for which they were 427 00:23:07,400 --> 00:23:13,120 Speaker 1: unprepared and and the challenge in nine the first men 428 00:23:13,119 --> 00:23:15,040 Speaker 1: from the government who showed up on her doorstep in DC. 429 00:23:15,680 --> 00:23:18,600 Speaker 1: We're from the U. S. Treasury Department, specifically the U. S. 430 00:23:18,640 --> 00:23:21,280 Speaker 1: Coast Guard, and they were asking Elizabeth to help them 431 00:23:21,359 --> 00:23:26,199 Speaker 1: fight the war against organized crime because of prohibition. What 432 00:23:26,280 --> 00:23:28,359 Speaker 1: the Coast Guard needed to make any progress in in 433 00:23:28,400 --> 00:23:32,320 Speaker 1: this war against uh these rum runners was code breaking. 434 00:23:32,680 --> 00:23:34,919 Speaker 1: And by the way, these were not gentlemen run runners, right, 435 00:23:34,920 --> 00:23:38,040 Speaker 1: the gentleman rum runners, the guys sort of the the 436 00:23:38,119 --> 00:23:41,040 Speaker 1: small time entrepreneurs with a boat. Yeah, they were out 437 00:23:41,040 --> 00:23:42,760 Speaker 1: of the game by nineteen twenty four. They were. They 438 00:23:42,800 --> 00:23:46,000 Speaker 1: were edged out. They were forced out by organized crime, 439 00:23:46,040 --> 00:23:49,000 Speaker 1: by these mafias. And so, uh so, what the Coast 440 00:23:49,000 --> 00:23:51,080 Speaker 1: Guard needed to make any progress was code breaking. They 441 00:23:51,119 --> 00:23:53,720 Speaker 1: needed someone like Elizabeth to come in look at the 442 00:23:53,760 --> 00:23:58,520 Speaker 1: intercepted radio messages, you know, solve them and light up 443 00:23:58,560 --> 00:24:00,960 Speaker 1: this dark and underworld too, that the Coast Guard would 444 00:24:00,960 --> 00:24:03,240 Speaker 1: be able to catch these boats and put these guys 445 00:24:03,280 --> 00:24:05,159 Speaker 1: on trial. And that's exactly what she started to do. 446 00:24:05,200 --> 00:24:11,280 Speaker 1: Starting she became an expert in this discipline of radio intelligence, 447 00:24:11,320 --> 00:24:15,800 Speaker 1: which is intercepting the radio messages, solving the codes, using 448 00:24:15,800 --> 00:24:19,040 Speaker 1: the information to map the hit and network the darkened 449 00:24:19,080 --> 00:24:21,919 Speaker 1: underworld to throw light on it. And then once she 450 00:24:21,960 --> 00:24:24,280 Speaker 1: had solved the messages of these rum runners, a lot 451 00:24:24,280 --> 00:24:26,240 Speaker 1: of the times she would be called to testifying court 452 00:24:26,280 --> 00:24:29,199 Speaker 1: against them, which is incredible to think about, because you know, 453 00:24:29,280 --> 00:24:33,080 Speaker 1: it's this badite woman five ft three, you know, walking 454 00:24:33,080 --> 00:24:35,080 Speaker 1: to the front of a courtroom, you know, in a 455 00:24:35,080 --> 00:24:37,359 Speaker 1: pink dress and a pink hat with a flower pinned 456 00:24:37,359 --> 00:24:39,679 Speaker 1: to the brim, and she's sitting in the witness box 457 00:24:40,119 --> 00:24:42,880 Speaker 1: staring down, you know, in one case, more than twenty 458 00:24:43,880 --> 00:24:48,240 Speaker 1: agents of an organized crime syndicate and explaining to a 459 00:24:48,359 --> 00:24:51,200 Speaker 1: jury exactly what code breaking is and exactly how she 460 00:24:51,320 --> 00:24:53,879 Speaker 1: solved these messages, because she had to be able to 461 00:24:53,920 --> 00:24:56,520 Speaker 1: convince a jury that it was real science, that the 462 00:24:56,880 --> 00:24:59,640 Speaker 1: words that she was saying, the rum runners were saying, 463 00:24:59,640 --> 00:25:01,840 Speaker 1: we're her actual words, that she really was kind of 464 00:25:01,880 --> 00:25:03,919 Speaker 1: reading their thoughts, and that there was a science to it. 465 00:25:03,960 --> 00:25:07,520 Speaker 1: And so, uh So, Elizabeth became, for a brief time 466 00:25:08,119 --> 00:25:11,240 Speaker 1: in the in the early nineteen thirties, a front page story. 467 00:25:11,760 --> 00:25:13,639 Speaker 1: Uh and it was kind of an irresistible story for 468 00:25:13,800 --> 00:25:16,880 Speaker 1: reporters because you know they would they would describe her 469 00:25:16,920 --> 00:25:20,639 Speaker 1: as sort of like, uh, a small woman in a 470 00:25:20,680 --> 00:25:24,600 Speaker 1: pink dress who protects the United States or or you know, 471 00:25:24,680 --> 00:25:26,960 Speaker 1: a pretty little woman in a in a philly prank 472 00:25:27,040 --> 00:25:30,560 Speaker 1: pink dress. Um, and she and she would find herself 473 00:25:30,640 --> 00:25:33,400 Speaker 1: on the front page all of a sudden and testifying 474 00:25:33,440 --> 00:25:37,359 Speaker 1: in these spectacular trials. Wow. Yeah, And I think you 475 00:25:37,400 --> 00:25:39,560 Speaker 1: said at one point she was decoding up to what 476 00:25:39,760 --> 00:25:42,480 Speaker 1: like twenty five thousand messages in a year, So not 477 00:25:42,520 --> 00:25:46,720 Speaker 1: only was she good at this, but she was incredibly fast. Yes, 478 00:25:46,840 --> 00:25:50,840 Speaker 1: it was an astonishing volume of stuff. And and again 479 00:25:50,840 --> 00:25:53,160 Speaker 1: this is before computers, so so a lot of the 480 00:25:53,280 --> 00:25:56,800 Speaker 1: job was just this kind of daily grind of of 481 00:25:57,400 --> 00:25:59,920 Speaker 1: cranking through paper. So, Jason, I want to get into 482 00:26:00,080 --> 00:26:03,000 Speaker 1: uh jed or Hoover and how the FBI messed up 483 00:26:03,040 --> 00:26:05,399 Speaker 1: so many things and and all that story is fascinating, 484 00:26:05,440 --> 00:26:07,439 Speaker 1: But before that, can you tell us a little bit 485 00:26:07,480 --> 00:26:10,720 Speaker 1: about how you found the story and how you reported 486 00:26:10,720 --> 00:26:14,080 Speaker 1: it because it obviously has uh, you know, a ton 487 00:26:14,119 --> 00:26:18,000 Speaker 1: of work went into this incredible book. Sure, so the 488 00:26:18,040 --> 00:26:22,119 Speaker 1: genesis of the story was really the Edward Snowden, Uh 489 00:26:22,280 --> 00:26:26,520 Speaker 1: leaks in. So after the Snowden story broke, I started 490 00:26:26,560 --> 00:26:28,760 Speaker 1: reading about the n s A, right, and I think, um, 491 00:26:29,600 --> 00:26:30,960 Speaker 1: the history of the n s A. Where did it 492 00:26:31,000 --> 00:26:33,679 Speaker 1: come from? And like a lot of Americans, I think 493 00:26:33,720 --> 00:26:35,600 Speaker 1: I didn't really know much about the n s A. 494 00:26:35,720 --> 00:26:37,520 Speaker 1: And when you start reading about the history of the 495 00:26:37,600 --> 00:26:41,119 Speaker 1: n s A, all roads lead to William Friedman, Elizabeth's husband. 496 00:26:41,200 --> 00:26:43,600 Speaker 1: He's considered to be the godfather of the n s A. 497 00:26:44,160 --> 00:26:46,119 Speaker 1: That today, if you go to n s A headquarters 498 00:26:46,160 --> 00:26:49,640 Speaker 1: in Fort Meade, Uh, there's an outside of the auditorium 499 00:26:49,640 --> 00:26:52,399 Speaker 1: that is named for William is a bronze bust of 500 00:26:52,520 --> 00:26:56,200 Speaker 1: his head. So William is like the guy, the guy 501 00:26:56,280 --> 00:26:58,800 Speaker 1: with the n s A. UM. But I also read 502 00:26:58,800 --> 00:27:00,760 Speaker 1: I also read that he that he had a wife 503 00:27:00,840 --> 00:27:05,239 Speaker 1: who was a codebreaker herself, and I thought that was interesting, right, 504 00:27:05,359 --> 00:27:07,879 Speaker 1: like a husband and wife codebreaker. That's that's kind of unusual. 505 00:27:07,920 --> 00:27:11,120 Speaker 1: And I went looking for more information about Elizabeth, but 506 00:27:11,440 --> 00:27:13,840 Speaker 1: there wasn't really much that I could find. And so 507 00:27:14,080 --> 00:27:18,000 Speaker 1: one day I drove down from my from my house 508 00:27:18,040 --> 00:27:23,399 Speaker 1: outside of Philly to the library in Lexington, Virginia, where 509 00:27:23,480 --> 00:27:28,160 Speaker 1: the Freedman's left their personal papers before they died and 510 00:27:28,200 --> 00:27:31,480 Speaker 1: William left, uh, you know, reams of stuff, boxes and 511 00:27:31,520 --> 00:27:34,359 Speaker 1: boxes and boxes and boxes. Elizabeth left a smaller amount 512 00:27:34,359 --> 00:27:38,480 Speaker 1: of material, but she still left twenty two boxes full 513 00:27:38,520 --> 00:27:41,800 Speaker 1: of full of documents, and um, I asked if I 514 00:27:41,840 --> 00:27:45,000 Speaker 1: could see them, And so I started reading reading her stuff, 515 00:27:45,040 --> 00:27:48,240 Speaker 1: starting with Box one, File one. And you know, immediately 516 00:27:48,720 --> 00:27:50,800 Speaker 1: when I started reading her letters, I was just I 517 00:27:50,840 --> 00:27:52,879 Speaker 1: was just taken with her voice, you know, on on 518 00:27:52,920 --> 00:27:55,920 Speaker 1: the page a hundred years ago, reading reading reading her 519 00:27:55,920 --> 00:27:58,880 Speaker 1: words in her own hand. And she's just so sort 520 00:27:58,880 --> 00:28:03,600 Speaker 1: of funny, witty, warm, sometimes sort of biting, sarcastic. She 521 00:28:03,640 --> 00:28:07,520 Speaker 1: could be very savage on the bag sometimes and um, 522 00:28:07,960 --> 00:28:10,479 Speaker 1: and I was just captivated with with her voice. But 523 00:28:10,960 --> 00:28:13,080 Speaker 1: you know, the more I read in those twenty two boxes, 524 00:28:13,160 --> 00:28:17,040 Speaker 1: the more I realized that, um, you know, not only 525 00:28:17,080 --> 00:28:20,240 Speaker 1: was this the story of uh, you know, a remarkable woman, 526 00:28:21,000 --> 00:28:23,959 Speaker 1: um who had an amazing kind of dramatic, kind of 527 00:28:24,000 --> 00:28:29,080 Speaker 1: irresistibly you know, cinematic career. I mean, a code breaking 528 00:28:29,480 --> 00:28:33,760 Speaker 1: Quaker poet who caught gangsters. It's it's it's kind of irresistible, right, 529 00:28:34,400 --> 00:28:37,080 Speaker 1: But I also realized that, you know, she was really 530 00:28:37,080 --> 00:28:40,320 Speaker 1: a hidden woman behind the birth and the growth of 531 00:28:40,320 --> 00:28:44,080 Speaker 1: the intelligence uh community in America, because she really was 532 00:28:44,160 --> 00:28:47,680 Speaker 1: present at the beginning of a lot of things that 533 00:28:47,680 --> 00:28:50,200 Speaker 1: that today are very important. And so I thought it 534 00:28:50,240 --> 00:28:52,080 Speaker 1: was you know, it was both kind of like a 535 00:28:52,520 --> 00:28:56,640 Speaker 1: you know, an incredible just human story that hadn't been told, 536 00:28:56,640 --> 00:28:58,880 Speaker 1: but I also thought it was it was important in 537 00:28:59,200 --> 00:29:02,080 Speaker 1: terms of the bigger picture of American intelligence. That the 538 00:29:02,440 --> 00:29:06,320 Speaker 1: thing about the twenty two boxes that I found at 539 00:29:06,360 --> 00:29:10,600 Speaker 1: the library that Elizabeth had left was, uh, there was 540 00:29:10,680 --> 00:29:13,200 Speaker 1: nothing in World War about World War Two in those boxes, 541 00:29:13,240 --> 00:29:16,120 Speaker 1: so there was essentially a gap between nineteen thirty nine 542 00:29:16,200 --> 00:29:20,240 Speaker 1: and so what she did during World War Two, what 543 00:29:20,280 --> 00:29:23,520 Speaker 1: I found in those records is that, um, she was 544 00:29:23,600 --> 00:29:30,280 Speaker 1: hunting Nazi spies. So after Hitler invaded Poland, Nazi spies 545 00:29:30,320 --> 00:29:34,520 Speaker 1: began spreading out into the Western hemisphere, and uh, most 546 00:29:34,560 --> 00:29:37,800 Speaker 1: of them set up shop in South America. South America 547 00:29:38,000 --> 00:29:39,680 Speaker 1: was a good place for them to be because it 548 00:29:39,720 --> 00:29:43,400 Speaker 1: was kind of upper grabs, it was neutral, uh, and 549 00:29:43,520 --> 00:29:47,040 Speaker 1: it was close to North America. So it was a 550 00:29:47,080 --> 00:29:50,680 Speaker 1: good listening post for Nazi spies to gather intelligence about 551 00:29:50,720 --> 00:29:54,040 Speaker 1: what America was doing and what Britain was doing. There 552 00:29:54,080 --> 00:29:56,520 Speaker 1: were also a lot of sort of right wing movements 553 00:29:56,520 --> 00:29:59,880 Speaker 1: in individual South American countries that kind of resembled fascism, 554 00:30:00,000 --> 00:30:02,560 Speaker 1: So there was some natural sympathy for the fascist cause. 555 00:30:02,800 --> 00:30:06,920 Speaker 1: They're also millions of German columnists already living there, so 556 00:30:07,040 --> 00:30:09,080 Speaker 1: Nazis had kind of a natural advantage. It was fertile 557 00:30:09,120 --> 00:30:12,200 Speaker 1: soil for Nazi spies to set up. And and what 558 00:30:12,240 --> 00:30:14,320 Speaker 1: they did is when they when they went to South America, 559 00:30:14,360 --> 00:30:18,200 Speaker 1: they started to build clandestine radio stations, pirate radio stations, 560 00:30:18,200 --> 00:30:21,200 Speaker 1: and they would transmit their intelligence reports back to Berlin 561 00:30:21,240 --> 00:30:26,120 Speaker 1: and Hamburg um over the radio. And uh. It was 562 00:30:26,160 --> 00:30:29,160 Speaker 1: the FBI's job, Jagger Hoover's job at that point, to 563 00:30:29,200 --> 00:30:33,959 Speaker 1: try to stop these Nazi spies. The problem was he 564 00:30:34,000 --> 00:30:37,560 Speaker 1: wasn't very good at it. So um. There's a famous story. 565 00:30:37,680 --> 00:30:41,560 Speaker 1: The FBI created a whole new division in to try 566 00:30:41,600 --> 00:30:44,320 Speaker 1: to go after Nazi spies in South America. It was 567 00:30:44,360 --> 00:30:46,840 Speaker 1: called the s I S. And the first couple of 568 00:30:47,240 --> 00:30:50,320 Speaker 1: FBI agents who went to South America, they got off 569 00:30:50,360 --> 00:30:52,440 Speaker 1: the plane and they were immediately spotted by the locals 570 00:30:52,520 --> 00:30:55,240 Speaker 1: and and made for FBI guys. You know, the locals. 571 00:30:55,280 --> 00:30:57,120 Speaker 1: The locals looked at them and they they looked like 572 00:30:57,200 --> 00:31:00,200 Speaker 1: FBI guys they had seen in the movies. They had 573 00:31:00,200 --> 00:31:02,760 Speaker 1: the snap brim hats and then you know, uh, you know, 574 00:31:02,800 --> 00:31:04,640 Speaker 1: the square jaws and everything, and they were really pale. 575 00:31:04,680 --> 00:31:07,880 Speaker 1: They didn't have they didn't speak the languages. Um. You know, 576 00:31:07,920 --> 00:31:09,720 Speaker 1: there's a story about one of the guys who had 577 00:31:09,760 --> 00:31:13,480 Speaker 1: taken a language course in New York in preparation for 578 00:31:13,520 --> 00:31:16,240 Speaker 1: his posting to South America. The the FBI had taught 579 00:31:16,280 --> 00:31:18,880 Speaker 1: him Spanish, and then he was posted to Brazil and 580 00:31:18,920 --> 00:31:21,040 Speaker 1: he got off the plane in Brazil, you know, disappointed 581 00:31:21,080 --> 00:31:23,760 Speaker 1: to discover that the language that's spoken in Brazil is 582 00:31:23,760 --> 00:31:27,520 Speaker 1: mainly Portuguese and not spanning. So these guys were completely lost, 583 00:31:27,600 --> 00:31:30,800 Speaker 1: right the FBI, Yeah, they were never they were never 584 00:31:30,800 --> 00:31:33,520 Speaker 1: going to be able to find these Nazi spies using 585 00:31:33,600 --> 00:31:38,320 Speaker 1: kind of old school FBI techniques of developing confidential informants 586 00:31:38,400 --> 00:31:40,120 Speaker 1: and that sort of thing. What they really needed was 587 00:31:40,160 --> 00:31:42,920 Speaker 1: code breaking, right, they needed a technical advantage. They needed 588 00:31:42,920 --> 00:31:46,760 Speaker 1: to intercept these radio messages, uh, solve the messages and 589 00:31:46,880 --> 00:31:49,440 Speaker 1: light up the darkened underworld by by kind of stealing 590 00:31:49,440 --> 00:31:53,000 Speaker 1: the thoughts directly from the lips of the spies. Um. 591 00:31:53,040 --> 00:31:55,240 Speaker 1: But they couldn't do that because the FBI didn't have 592 00:31:56,240 --> 00:31:58,800 Speaker 1: Because the FBI didn't have a code breaking team, they 593 00:31:58,840 --> 00:32:02,239 Speaker 1: had no code breaking compa city, They had no ability 594 00:32:02,320 --> 00:32:04,440 Speaker 1: uh to break codes and to read the messages of 595 00:32:04,440 --> 00:32:08,160 Speaker 1: what these Nazi spies were saying. But Elizabeth Friedman did 596 00:32:08,600 --> 00:32:11,959 Speaker 1: because you know, she had spent the last fifteen years 597 00:32:12,640 --> 00:32:16,160 Speaker 1: uh kind of doing target practice against rum runners and 598 00:32:16,240 --> 00:32:21,160 Speaker 1: drug smuggles. She she had developed this expertise at intercepting 599 00:32:21,280 --> 00:32:24,880 Speaker 1: radio messages, solving them and mapping these underworld networks because 600 00:32:24,920 --> 00:32:27,880 Speaker 1: that had been her job during the twenties and thirties 601 00:32:27,920 --> 00:32:30,840 Speaker 1: to to fight smuggling and so UM, it wasn't that 602 00:32:30,880 --> 00:32:33,480 Speaker 1: she set out to hunt Nazi spies. It's just that 603 00:32:33,520 --> 00:32:35,400 Speaker 1: she she happened to have the right set of skills 604 00:32:35,440 --> 00:32:39,040 Speaker 1: the right moment, you know, and in she was ready 605 00:32:39,080 --> 00:32:40,960 Speaker 1: to go. And so so what ended up happening is 606 00:32:41,000 --> 00:32:44,760 Speaker 1: the FBI relied on Elizabeth and UM and the code 607 00:32:44,760 --> 00:32:46,800 Speaker 1: breaking team that she had built within the Coast Guard 608 00:32:47,280 --> 00:32:49,840 Speaker 1: UH code breakers that she had trained she had led 609 00:32:50,520 --> 00:32:53,960 Speaker 1: UM relying on them to as as kind of the 610 00:32:54,000 --> 00:32:56,600 Speaker 1: technical back end of this of this hunt for Nazi 611 00:32:56,680 --> 00:33:01,000 Speaker 1: spies in South America. Elizabeth and her team monitor these 612 00:33:01,080 --> 00:33:05,040 Speaker 1: clandestine radio circuits used by Nazi spies, solve the messages, 613 00:33:05,440 --> 00:33:11,200 Speaker 1: and provide the translated English plain texts to allied intelligence agencies, 614 00:33:11,520 --> 00:33:15,800 Speaker 1: including the Army, the Navy, the FBI, and also British intelligence. 615 00:33:15,840 --> 00:33:17,760 Speaker 1: And by the end of the war, they had monitored 616 00:33:17,760 --> 00:33:22,360 Speaker 1: about fifty different UH clandestine radio circuits used by the Nazis, 617 00:33:22,400 --> 00:33:26,720 Speaker 1: solved four thousand messages. You know, these messages were incredibly 618 00:33:26,760 --> 00:33:31,360 Speaker 1: important in ultimately destroying these Nazi spy rings in South 619 00:33:31,400 --> 00:33:35,560 Speaker 1: America and eliminating a dangerous threat. You know, Elizabeth and 620 00:33:35,760 --> 00:33:39,800 Speaker 1: her teammates really brought these Nazi spies to Ruin Pick 621 00:33:39,880 --> 00:33:44,440 Speaker 1: to pick their networks apart, piece by piece, destroyed them, 622 00:33:44,480 --> 00:33:46,880 Speaker 1: you know, neutralized the threat. And then after the war, 623 00:33:47,840 --> 00:33:51,320 Speaker 1: Jagger Hoover you know, stuck up his hand and went 624 00:33:51,320 --> 00:33:54,960 Speaker 1: out to the public on kind of a publicity campaign 625 00:33:55,000 --> 00:33:57,800 Speaker 1: taking credit for all of that, and he said, you know, America, 626 00:33:58,200 --> 00:34:01,840 Speaker 1: the FBI saved you for on this dangerous Nazi spy 627 00:34:01,880 --> 00:34:06,560 Speaker 1: invasion in South America, and UH, You're welcome. And that's 628 00:34:06,640 --> 00:34:08,960 Speaker 1: kind of the story that has been told ever since, 629 00:34:09,120 --> 00:34:11,960 Speaker 1: is that is that the FBI did UH, did all 630 00:34:12,000 --> 00:34:17,000 Speaker 1: of the hard dangerous, brave. Uh, you know, brilliant work 631 00:34:17,080 --> 00:34:19,480 Speaker 1: of catching these Nazi splies of South America. But I 632 00:34:19,520 --> 00:34:23,520 Speaker 1: think the truth is that the real driver was Elizabeth Freedman. 633 00:34:23,600 --> 00:34:25,879 Speaker 1: It was this. It was this American mother of two 634 00:34:25,880 --> 00:34:29,520 Speaker 1: who figured out how to sweep the Western hemisphere free 635 00:34:29,640 --> 00:34:32,520 Speaker 1: of undercover Nazis. And uh, and yet she never got 636 00:34:32,560 --> 00:34:35,359 Speaker 1: the credit for it because because Hoover got out there 637 00:34:35,400 --> 00:34:51,480 Speaker 1: in front. Welcome back to Part time Genius. We're chatting 638 00:34:51,480 --> 00:34:55,520 Speaker 1: with Jason Fagoni, the author of The Woman who Smashed Codes. Okay, Jason, 639 00:34:55,719 --> 00:34:59,120 Speaker 1: So she, you know, helps through World War One obviously 640 00:34:59,239 --> 00:35:02,160 Speaker 1: de codes, know what, as you said, twenty five thousand 641 00:35:02,200 --> 00:35:05,640 Speaker 1: messages a year in between the world wars at times, 642 00:35:05,680 --> 00:35:08,399 Speaker 1: and and helped defeat the Nazis in World War Two. 643 00:35:08,440 --> 00:35:11,920 Speaker 1: It's just an unbelievable story. And then you said, after 644 00:35:11,960 --> 00:35:14,600 Speaker 1: all of this, she and William kind of come back 645 00:35:14,640 --> 00:35:17,239 Speaker 1: to the Shakespeare project later in their lives, and and 646 00:35:17,600 --> 00:35:22,920 Speaker 1: why was this? Yes? So after the war, Uh, William 647 00:35:23,280 --> 00:35:25,440 Speaker 1: was one of the people who helped form the National 648 00:35:25,440 --> 00:35:28,880 Speaker 1: Security Agency that the team that he had created and 649 00:35:28,920 --> 00:35:33,160 Speaker 1: built at the Army, which during World War Two achieved 650 00:35:33,280 --> 00:35:38,000 Speaker 1: essentially the impossible by breaking the Japanese diplomatic code, which 651 00:35:38,000 --> 00:35:39,960 Speaker 1: was called Purple, which she gave the Allies a huge 652 00:35:39,960 --> 00:35:42,440 Speaker 1: advantage and probably shortened the war. Yeah, he did all 653 00:35:42,440 --> 00:35:45,040 Speaker 1: these heroic things during World War Two, and then after 654 00:35:45,080 --> 00:35:47,759 Speaker 1: the war helped to create the n s A. His 655 00:35:47,760 --> 00:35:50,120 Speaker 1: his army unit was kind of absorbed into this thing 656 00:35:50,160 --> 00:35:52,440 Speaker 1: that became the n s A. But as the n 657 00:35:52,560 --> 00:35:56,399 Speaker 1: s A kind of began to grow, um it it 658 00:35:56,440 --> 00:36:03,279 Speaker 1: grew beyond what what he uh felt like he could bear. Um. 659 00:36:03,360 --> 00:36:07,319 Speaker 1: He became a critic internally of some of the n 660 00:36:07,400 --> 00:36:10,880 Speaker 1: s AS policies and it's uh it's directions. He he 661 00:36:10,960 --> 00:36:15,160 Speaker 1: became concerned that that too many documents were being classified. 662 00:36:15,880 --> 00:36:18,799 Speaker 1: Um he felt like the NISA was collecting too much information. 663 00:36:19,280 --> 00:36:20,880 Speaker 1: He felt like they would never ever be able to 664 00:36:20,920 --> 00:36:23,799 Speaker 1: sift all the information they were collecting for actionable intelligence 665 00:36:24,440 --> 00:36:28,400 Speaker 1: and UH and it really troubled him and uh and 666 00:36:28,400 --> 00:36:32,320 Speaker 1: and throughout the nineteen fifties, as the Cold War UH 667 00:36:32,760 --> 00:36:36,200 Speaker 1: kind of sharpened in d C, atmosphere of paranoia grew. 668 00:36:37,040 --> 00:36:42,400 Speaker 1: Um William became more and more despairing about his relationship 669 00:36:42,520 --> 00:36:46,440 Speaker 1: with this organization and with the government more broadly. That 670 00:36:46,560 --> 00:36:48,680 Speaker 1: he that he felt he had always served very loyal 671 00:36:48,920 --> 00:36:52,799 Speaker 1: loyally and um, you know it this kind of culminated 672 00:36:52,840 --> 00:36:58,400 Speaker 1: in this famous, famous day in eight when the n 673 00:36:58,480 --> 00:37:01,640 Speaker 1: s A sent agents to the personal home of William 674 00:37:01,640 --> 00:37:05,919 Speaker 1: and Elizabeth Freedman and removed documents and books from their 675 00:37:06,000 --> 00:37:08,920 Speaker 1: from their private library, uh, saying saying that they were 676 00:37:08,920 --> 00:37:11,279 Speaker 1: classified and needed needed to be moved to a higher 677 00:37:11,360 --> 00:37:13,440 Speaker 1: level of classification the free you know, A lot of 678 00:37:13,440 --> 00:37:16,400 Speaker 1: the a lot of the materials were so old that 679 00:37:16,440 --> 00:37:19,560 Speaker 1: they dated back to the First World War. UH. William 680 00:37:19,760 --> 00:37:22,960 Speaker 1: was baffled, you know that that the n s A 681 00:37:23,040 --> 00:37:26,040 Speaker 1: would uh would want to classify these things because they 682 00:37:26,040 --> 00:37:28,000 Speaker 1: were so old and there they were really of only 683 00:37:28,080 --> 00:37:30,920 Speaker 1: historical interest, he thought. But um, you know, they they 684 00:37:31,000 --> 00:37:35,080 Speaker 1: found this to be kind of intolerable, a uh, you know, 685 00:37:35,120 --> 00:37:38,400 Speaker 1: an invasion of their privacy. And um, I think it 686 00:37:38,520 --> 00:37:44,080 Speaker 1: motivated him and and and probably Elizabeth too to pull 687 00:37:44,120 --> 00:37:47,359 Speaker 1: away from from government work more and more and back 688 00:37:47,400 --> 00:37:50,040 Speaker 1: to personal projects. And so one of the personal projects 689 00:37:50,040 --> 00:37:53,239 Speaker 1: that they could could talk about that they could work on. Uh. 690 00:37:53,320 --> 00:37:56,719 Speaker 1: In this atmosphere of kind of deepening paranoia, security and 691 00:37:56,719 --> 00:37:59,560 Speaker 1: classification was something that had nothing to do with government 692 00:37:59,560 --> 00:38:02,520 Speaker 1: codebreak all is something that's something that went back to, 693 00:38:02,920 --> 00:38:06,719 Speaker 1: uh to their original kind of wild goose chase of 694 00:38:06,760 --> 00:38:10,600 Speaker 1: their youth at Number Bank Laboratories. So so you know, 695 00:38:10,840 --> 00:38:13,640 Speaker 1: they and what they did is they went back to this, uh, 696 00:38:13,880 --> 00:38:16,440 Speaker 1: to this theory that George Fabian had always tried to 697 00:38:16,480 --> 00:38:19,240 Speaker 1: get them to prove this theory that that Francis Bacon 698 00:38:19,280 --> 00:38:22,240 Speaker 1: had inserted secret messages in the works of Shakespeare and 699 00:38:22,400 --> 00:38:24,640 Speaker 1: uh and they just demolished it. They used all of 700 00:38:24,640 --> 00:38:28,040 Speaker 1: their ability, all of their uh, all of their kind 701 00:38:28,040 --> 00:38:30,880 Speaker 1: of savagery on the page to to sort of go 702 00:38:31,000 --> 00:38:34,239 Speaker 1: through every piece of piece of purported evidence for for 703 00:38:34,280 --> 00:38:37,640 Speaker 1: this theory and uh and just and just destroy it 704 00:38:38,840 --> 00:38:40,879 Speaker 1: page by page. And it is wonderful. And they wrote 705 00:38:40,880 --> 00:38:43,680 Speaker 1: it together. Um, it's a very funny book. It's it's 706 00:38:43,719 --> 00:38:49,080 Speaker 1: it's a very uh sort of precise book and uh 707 00:38:49,120 --> 00:38:50,960 Speaker 1: and and that was the thing that brought them back 708 00:38:51,000 --> 00:38:55,920 Speaker 1: together working together after decades of of kind of growing 709 00:38:56,000 --> 00:38:59,560 Speaker 1: growing apart because of their uh, you know, increasingly important 710 00:39:00,040 --> 00:39:03,440 Speaker 1: purity duties for the United States. Wow. Well, I have 711 00:39:03,520 --> 00:39:05,839 Speaker 1: to say, Jason, in reading this book, this is this 712 00:39:05,920 --> 00:39:08,640 Speaker 1: is one of those history books that as you're reading it, 713 00:39:08,719 --> 00:39:12,960 Speaker 1: you can almost see and feel the blood, sweat and 714 00:39:13,000 --> 00:39:17,000 Speaker 1: tears that went into this project. It's not only beautifully written, 715 00:39:17,040 --> 00:39:20,320 Speaker 1: but you can tell just all of the the intense 716 00:39:20,360 --> 00:39:23,520 Speaker 1: amount of research that you've done to put into this book, 717 00:39:23,600 --> 00:39:25,840 Speaker 1: and and for that, I honestly, I just want to 718 00:39:25,840 --> 00:39:28,240 Speaker 1: say thanks, because it is one of the best books 719 00:39:28,280 --> 00:39:30,439 Speaker 1: I've read in a long time. And I do hope 720 00:39:30,440 --> 00:39:33,640 Speaker 1: our our readers will check out The Woman who Smashed Codes. 721 00:39:33,719 --> 00:39:37,439 Speaker 1: It's an incredible story. So Elizabeth died in nineteen eighty 722 00:39:37,520 --> 00:39:40,400 Speaker 1: at the age of eighty eight, mostly unacknowledged for her 723 00:39:40,440 --> 00:39:44,080 Speaker 1: foundation laying cryptographic word, but you know you stumbled into 724 00:39:44,160 --> 00:39:46,439 Speaker 1: her story and and for that and all the work 725 00:39:46,480 --> 00:39:49,399 Speaker 1: you put into this, I just want to say thanks. Oh, 726 00:39:49,440 --> 00:39:53,600 Speaker 1: thank you guys. I I really appreciate your um. I 727 00:39:53,600 --> 00:39:55,840 Speaker 1: don't know your questions were great. It's clearly that you 728 00:39:55,880 --> 00:39:57,640 Speaker 1: paid a lot of paid a lot of attention to 729 00:39:57,640 --> 00:40:01,080 Speaker 1: the book and and honestly, it was it was a 730 00:40:01,160 --> 00:40:03,000 Speaker 1: joy doing the research. It was it was one of 731 00:40:03,000 --> 00:40:07,280 Speaker 1: those projects that every journalist and every writer hopes to 732 00:40:07,320 --> 00:40:10,799 Speaker 1: stumble across, and I feel lucky to have to have 733 00:40:10,800 --> 00:40:22,600 Speaker 1: gotten to do it. M H. Welcome back to part 734 00:40:22,600 --> 00:40:25,520 Speaker 1: time genius. Now we've learned a ton today, but you know, 735 00:40:25,600 --> 00:40:27,479 Speaker 1: we can't wrap this thing up without a good old 736 00:40:27,560 --> 00:40:31,600 Speaker 1: fashioned backed off. So you want to kick us off, mango, Yeah, definitely. So. 737 00:40:31,880 --> 00:40:33,760 Speaker 1: I know Jason talked about this a little bit earlier, 738 00:40:33,800 --> 00:40:36,759 Speaker 1: but I loved reading about how Elizabeth and William taught 739 00:40:36,800 --> 00:40:39,600 Speaker 1: their kids the basics of cryptography, like as early as 740 00:40:39,640 --> 00:40:42,279 Speaker 1: seven years old. So when their daughter Barbara was off 741 00:40:42,280 --> 00:40:45,120 Speaker 1: at sleepaway camp, she'd send home letters and code, and 742 00:40:45,160 --> 00:40:48,160 Speaker 1: the Freedman's would use codes and ciphers and their Christmas 743 00:40:48,200 --> 00:40:51,200 Speaker 1: cards and sometimes they even had cipher parties where their 744 00:40:51,200 --> 00:40:53,399 Speaker 1: guests would have to solve the cipher just to figure 745 00:40:53,440 --> 00:40:56,200 Speaker 1: out what would be served for dinner. Wow, that's pretty awesome, 746 00:40:56,239 --> 00:40:58,360 Speaker 1: And actually it's kind of neat to see this coming 747 00:40:58,400 --> 00:41:00,640 Speaker 1: back in a way with like these brave gout type 748 00:41:00,640 --> 00:41:02,959 Speaker 1: places that people will go with their friends to play. 749 00:41:02,960 --> 00:41:07,120 Speaker 1: Have you seen these exit the room things? Yeah, yeah, exactly. 750 00:41:07,120 --> 00:41:09,080 Speaker 1: I've never been to one, but they seem pretty interesting. 751 00:41:09,680 --> 00:41:11,160 Speaker 1: All right. Well, I know we've been talking about the 752 00:41:11,200 --> 00:41:13,880 Speaker 1: woman who Smashed Codes, but there was another book published 753 00:41:13,920 --> 00:41:16,680 Speaker 1: this fall that's more generally about women code breakers, and 754 00:41:16,719 --> 00:41:20,040 Speaker 1: it's called Code Girls. The Untold Story of the American 755 00:41:20,120 --> 00:41:23,000 Speaker 1: women code breakers of World War Two, and it's by 756 00:41:23,040 --> 00:41:25,360 Speaker 1: Liz Mundy, So I think i'll share just a couple 757 00:41:25,400 --> 00:41:27,360 Speaker 1: of facts from that. And it does tell the story 758 00:41:27,400 --> 00:41:30,520 Speaker 1: of the more than ten thousand college students and school teachers, 759 00:41:30,600 --> 00:41:33,080 Speaker 1: among other women who were recruited to really be the 760 00:41:33,120 --> 00:41:35,719 Speaker 1: backbone of our intelligence efforts. But one of the things 761 00:41:35,800 --> 00:41:38,400 Speaker 1: I thought was so interesting is that it was a huge, 762 00:41:38,480 --> 00:41:42,120 Speaker 1: huge advantage for the Allied powers because unlike the Allied 763 00:41:42,160 --> 00:41:44,440 Speaker 1: Powers who put all of these women to work, the 764 00:41:44,480 --> 00:41:47,160 Speaker 1: Access Powers didn't do the same. And their estimates that 765 00:41:47,160 --> 00:41:49,600 Speaker 1: it shortened the war by as many as two or 766 00:41:49,600 --> 00:41:52,360 Speaker 1: three years. Oh wow, that's incredible. So one of the 767 00:41:52,360 --> 00:41:54,759 Speaker 1: more strange figures that Elizabeth took down was this woman 768 00:41:54,800 --> 00:41:57,480 Speaker 1: known as Doll Lady, and she discovered the secret code 769 00:41:57,560 --> 00:41:59,600 Speaker 1: hidden in the letters of this New York woman named 770 00:42:00,080 --> 00:42:03,839 Speaker 1: Beelvolye Dickinson, who was acting as this Japanese spy. It's 771 00:42:03,840 --> 00:42:06,440 Speaker 1: an amazing story. So Dickinson owned a doll shop and 772 00:42:06,480 --> 00:42:09,239 Speaker 1: would send letters to an address in Buenos Aires, and 773 00:42:09,320 --> 00:42:11,680 Speaker 1: she'd be talking about various dolls in her collection. But 774 00:42:11,719 --> 00:42:14,839 Speaker 1: Elizabeth realized that her references to like English dolls and 775 00:42:14,880 --> 00:42:17,640 Speaker 1: foreign dolls were actually a way to communicate about the Allies. 776 00:42:18,040 --> 00:42:20,200 Speaker 1: And the doll lady was eventually sentenced to ten years 777 00:42:20,239 --> 00:42:23,520 Speaker 1: in prison and find after being charged with espionage. She 778 00:42:23,600 --> 00:42:26,440 Speaker 1: got that doll lady. Wow, what a strange character. I know, 779 00:42:26,719 --> 00:42:29,040 Speaker 1: it just confirms my theories that adults who love dolls 780 00:42:29,040 --> 00:42:31,560 Speaker 1: shouldn't be trusted. That it's a good that's a good one. 781 00:42:31,640 --> 00:42:33,880 Speaker 1: I go, maybe we'll do a whole episode on that 782 00:42:33,920 --> 00:42:36,279 Speaker 1: at some point. All right, Well, back to Monday's books. 783 00:42:36,280 --> 00:42:38,680 Speaker 1: So she writes about how the branches of military were 784 00:42:38,719 --> 00:42:41,160 Speaker 1: different from one another and who they allowed to be 785 00:42:41,200 --> 00:42:44,600 Speaker 1: code breakers and who they didn't. So the Navy, for example, 786 00:42:44,640 --> 00:42:47,560 Speaker 1: didn't allow non whites. They didn't want Jewish women, they 787 00:42:47,600 --> 00:42:50,759 Speaker 1: didn't want African American women. The Army, on the other hand, 788 00:42:51,000 --> 00:42:55,600 Speaker 1: did allow non whites. However, not surprisingly, these groups were segregated. 789 00:42:55,640 --> 00:42:58,040 Speaker 1: And it was really frustrating from Moundy as she was 790 00:42:58,080 --> 00:43:01,040 Speaker 1: doing the research because there's no substantial records out there 791 00:43:01,239 --> 00:43:03,399 Speaker 1: other than a few photos, and you can actually see 792 00:43:03,440 --> 00:43:05,560 Speaker 1: these in Monday's book, and you know, it shows a 793 00:43:05,640 --> 00:43:08,319 Speaker 1: room full of African American code breakers, most of them 794 00:43:08,320 --> 00:43:10,799 Speaker 1: being women. So, as Jason explained to us, by the 795 00:43:10,840 --> 00:43:13,840 Speaker 1: early nineteen twenties, there were only three code breaking units 796 00:43:13,840 --> 00:43:16,720 Speaker 1: in the government and fewer than fifty employees, and about 797 00:43:16,719 --> 00:43:19,440 Speaker 1: half of those employees worked for the State Department, and 798 00:43:19,480 --> 00:43:21,799 Speaker 1: the Army and Navy had the other two. But in 799 00:43:21,920 --> 00:43:25,000 Speaker 1: nine the Secretary of State decided to shut down the 800 00:43:25,000 --> 00:43:28,840 Speaker 1: State Department's unit because, as he put it, quote, gentlemen 801 00:43:28,840 --> 00:43:32,799 Speaker 1: do not read each other's mail. Wow, what a strange thing, 802 00:43:33,560 --> 00:43:35,440 Speaker 1: all right. Well, one of the other things Monday shows 803 00:43:35,440 --> 00:43:37,880 Speaker 1: and Code Girls is that unlike this common notion that 804 00:43:37,880 --> 00:43:40,439 Speaker 1: there are all these big and exciting kind of ah 805 00:43:40,480 --> 00:43:43,960 Speaker 1: ha moments in code breaking, it's actually much more similar 806 00:43:44,000 --> 00:43:46,319 Speaker 1: to a marathon. And she does a great job of 807 00:43:46,640 --> 00:43:50,239 Speaker 1: showing how they were working often around the clock, just 808 00:43:50,440 --> 00:43:53,560 Speaker 1: looking for patterns and searching and searching. And it really 809 00:43:53,680 --> 00:43:56,479 Speaker 1: was this marathon work that had played a huge role 810 00:43:56,520 --> 00:43:58,800 Speaker 1: in helping to shorten the war, as I mentioned earlier, 811 00:43:58,800 --> 00:44:01,279 Speaker 1: because the Allies just had a much better idea of 812 00:44:01,320 --> 00:44:03,680 Speaker 1: what the Japanese and Germans We're planning to do each 813 00:44:03,680 --> 00:44:05,840 Speaker 1: step along the way. And I bet you want a 814 00:44:05,840 --> 00:44:08,960 Speaker 1: carbo load before each stage. With that definitely definitely. So 815 00:44:09,000 --> 00:44:11,120 Speaker 1: I know we like to talk about the best job titles, 816 00:44:11,120 --> 00:44:13,960 Speaker 1: so I had to tell you about uh. When Elizabeth 817 00:44:14,000 --> 00:44:16,280 Speaker 1: was tapped to head up the Coast Guards codebreaking team, 818 00:44:16,400 --> 00:44:18,040 Speaker 1: not only was she the first woman to run a 819 00:44:18,120 --> 00:44:20,640 Speaker 1: US government code breaking unit, but she was also given 820 00:44:20,680 --> 00:44:24,680 Speaker 1: a business card that said cryptanalyst and charge US Coast Guard. 821 00:44:24,960 --> 00:44:27,040 Speaker 1: That's one of the best titles I've ever heard. I 822 00:44:27,080 --> 00:44:29,520 Speaker 1: cannot beat that. So I'm gonna give you today's fact 823 00:44:29,520 --> 00:44:32,279 Speaker 1: off Mango. Thank you, thank you. All Right, that's it 824 00:44:32,360 --> 00:44:34,920 Speaker 1: for today's show. A special thanks to Jocelyn Sears for 825 00:44:34,920 --> 00:44:37,480 Speaker 1: her excellent research help with this episode. Now, if you 826 00:44:37,520 --> 00:44:39,600 Speaker 1: want to share any of your favorite code breaking facts, 827 00:44:39,600 --> 00:44:41,839 Speaker 1: you can always email us at part Time Genius at 828 00:44:41,840 --> 00:44:44,600 Speaker 1: how stuff Works dot com or call us on our 829 00:44:44,680 --> 00:44:47,960 Speaker 1: seven fact hop line one eight four four pt Genius. 830 00:44:48,200 --> 00:44:50,200 Speaker 1: You can also hit us up on Facebook or Twitter, 831 00:44:50,440 --> 00:44:51,799 Speaker 1: and don't forget to let us know if you'd like 832 00:44:51,840 --> 00:44:53,480 Speaker 1: to come on to play a quiz with us sometime. 833 00:44:53,680 --> 00:45:09,880 Speaker 1: Thanks for listening, Yeah, thanks again for listening. 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